30 aprile 2019

Agenda

The purpose of this presentation is to show how to create a 3d interactive graph with the package plotly

  • First we prepare the data
  • Then we will create a 3d scatter plot

Load Data

First we load the dataset airquality and exlude the raw with no information about variables we will use in the graph

data(airquality)
airquality <- airquality[complete.cases(airquality[,1:4]),]
str(airquality)
## 'data.frame':    111 obs. of  6 variables:
##  $ Ozone  : int  41 36 12 18 23 19 8 16 11 14 ...
##  $ Solar.R: int  190 118 149 313 299 99 19 256 290 274 ...
##  $ Wind   : num  7.4 8 12.6 11.5 8.6 13.8 20.1 9.7 9.2 10.9 ...
##  $ Temp   : int  67 72 74 62 65 59 61 69 66 68 ...
##  $ Month  : int  5 5 5 5 5 5 5 5 5 5 ...
##  $ Day    : int  1 2 3 4 7 8 9 12 13 14 ...

3d graph with plotly